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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Akshatha Mohan | Experience</title>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Fraunces:opsz,wght@9..144,600;9..144,700&family=Manrope:wght@400;500;600;700;800&display=swap" rel="stylesheet" />
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.2/css/all.min.css" />
<link rel="stylesheet" href="css/site.css" />
</head>
<body>
<header class="site-header">
<div class="container site-header-inner">
<div class="brand">Akshatha Mohan</div>
<nav class="menu">
<a href="index.html">Home</a>
<a href="publications.html">Publications</a>
<a href="projects.html">Projects</a>
<a class="active" href="experience.html">Experience</a>
</nav>
</div>
</header>
<main class="container layout">
<aside class="author-card">
<img class="avatar" src="images/avatar.jpg" alt="Akshatha Mohan profile photo" />
<h1 class="author-name">Akshatha Mohan</h1>
<p class="author-role">Graduate Research Assistant, WashU Medicine MIR/CIRC</p>
<p class="author-meta"><i class="fa-solid fa-location-dot"></i> St. Louis, Missouri</p>
<div class="author-links">
<a href="mailto:akshatha.mohan@tamu.edu"><i class="fa-regular fa-envelope"></i></a>
<a href="https://scholar.google.com/citations?hl=en&user=GF29N0wAAAAJ" target="_blank" rel="noreferrer"><i class="fa-solid fa-graduation-cap"></i></a>
<a href="https://www.linkedin.com/in/akshatha-mohan-495972188/" target="_blank" rel="noreferrer"><i class="fa-brands fa-linkedin"></i></a>
</div>
</aside>
<section class="content">
<h2 class="page-title">Research and Professional Experience</h2>
<p class="lead">My work combines medical AI research, explainable computer vision, and production-grade engineering.</p>
<div class="section">
<h2>Timeline</h2>
<article class="timeline-item">
<h3>Graduate Research Assistant, WashU Medicine MIR/CIRC</h3>
<p><strong>Present</strong></p>
<ul class="clean-list">
<li>Researching clinically grounded medical AI methods in computational imaging.</li>
<li>Developing robust evaluation and modeling strategies for translational imaging pipelines.</li>
</ul>
</article>
<article class="timeline-item">
<h3>Duke Collaborative Project: Lung CT IQA and Harmonization</h3>
<p><strong>2025 - Present</strong></p>
<ul class="clean-list">
<li>Evaluated 13 IQA metrics across structural, perceptual, and statistical categories.</li>
<li>Analyzed NLST, VLST, and DLCS cohorts for detection, classification, and COPD quantification tasks.</li>
<li>Studied CT-HARMONICA harmonization effects on realism, statistical bias, and quantitative consistency.</li>
</ul>
</article>
<article class="timeline-item">
<h3>Machine Learning Research Assistant, Texas A&M University</h3>
<p><strong>June 2023 - 2024</strong></p>
<ul class="clean-list">
<li>Developed lacunarity-based pooling for texture-aware image classification.</li>
<li>Co-authored work in CVPRW, IGARSS, and ICMLA on vision and explainable AI.</li>
</ul>
</article>
<article class="timeline-item">
<h3>Android Security Software Engineer, Ittiam Systems</h3>
<p><strong>September 2021 - June 2022</strong></p>
<ul class="clean-list">
<li>Built AOSP fuzzing infrastructure and vulnerability analysis workflows.</li>
</ul>
</article>
<article class="timeline-item">
<h3>Research Intern, IISc</h3>
<p><strong>May 2021 - August 2021</strong></p>
<ul class="clean-list">
<li>Analyzed codec and network tradeoffs for real-time video transmission.</li>
</ul>
</article>
</div>
</section>
</main>
<footer class="footer">
<div class="container">© 2026 Akshatha Mohan</div>
</footer>
</body>
</html>